Information and Self-Organization II: Steady State and Phase Transition

Area of Science:

• Theoretical Physics
• Information Theory
• Systems Biology

Background:

• Schrödinger's "what is life" question remains a fundamental inquiry.
• Traditional approaches often focus on physical principles.
• A need exists to explore life from an information-theoretic perspective.

Purpose of the Study:

• To elucidate answers to "what is life" using modern theoretical frameworks.
• To present the free energy principle and its connections to Bayesian inference and Synergetics.
• To familiarize a general audience with concepts from information theory and Synergetics.

Main Methods:

• Exploration of Friston's free energy principle.
• Application of Bayesian inference methods.
• Integration of Synergetics and the maximum entropy principle (Jaynes).

Main Results:

• Demonstrates the utility of information theory and Synergetics in addressing the nature of life.
• Highlights a conceptual shift from physics-centric to information-centric explanations.
• Provides a tutorial-style introduction to complex theoretical concepts.

Conclusions:

• The free energy principle, Bayesian inference, and Synergetics offer a unified framework for understanding life.
• Information theory provides powerful tools for biological inquiry.
• This interdisciplinary approach deepens our understanding of living systems.